Podcasts




Film Shots - AI Analysis of How Oscar Blockbusters Are Filmed

Duration: 0:06:55

The podcast discuses how AI technology is being applied in the film industry. While science fiction movies often depict humans defeating advanced robots, companies such as IBM and Nvidia have started to use AI to improve movie production. Filmmakers convey their stories through a language of visuals and sound, and the language of film consists of various types of shots, such as close-ups, mediums, and wides. By analyzing and categorizing these shots using machine learning, the process of creating movies can be made more efficient and effective. With the help of AI, images can be classified into specific shot types, such as close-ups or wide shots, allowing for easier analysis and faster production. Machine learning can be used for supervised learning, where different screenshots can be analyzed and sorted manually to determine which shot types they belong to.


E101 | Two-year revenue of more than 100 million US dollars, talk about AIGC's application layer unicorn | AIGC special

Duration: 0:48:26

Welcome to Silicon Valley 101, a tech blog sharing the latest technology knowledge and ideas. In this episode, we continue our discussion on AI, with a focus on which companies are making money from AI. Specifically, we look at two companies, Jasper.ai and Major, and their applications in different industries. Jasper.ai is a unicorn that focuses on creating AI-generated articles and other written content, primarily for businesses. Its platform is easy to use and has many features that make it a valuable tool for businesses. Despite the recent introduction of other similar platforms, Jasper.ai remains at the top of its game.


E107|AI Explosion: Very Early History of OpenAI, and the GPT moment in the Image Field|AIGC Special

Duration: 0:44:53

In this podcast episode, the hosts discuss OpenAI and its early development, as well as a curated collection of AI video tutorials on Bilibili. They recommend several useful videos, including those by former Amazon chief scientist Mu Li and their own GPT-related video. The discussion also touches on the concept of a general AI agent and how OpenAI is working towards this goal. Guest Jin Fang provides insights based on her experience working at OpenAI in its early days and describes the diverse research interests of its founding members. She also discusses her own project, the Universe project, which aimed to build a general agent capable of playing any game controlled by a mouse and keyboard.


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